Paper Info
Title
Harmony Search Algorithm And Its Variants
Abstract
In the past three decades nature-inspired and meta-heuristic algorithms have dominated the literature in the broad areas of search and optimization. Harmony search algorithm (HSA) is a music-inspired population-based meta-heuristic search and optimization algorithm. The concept behind the algorithm is to find a perfect state of harmony determined by aesthetic estimation. This paper starts with an overview of the harmonic phenomenon in music and music improvisation used by musicians and how it is applied to the optimization problem. The concept of harmony memory and its mathematical implementation are introduced. A review of HSA and its variants is presented. Guidelines from the literature on the choice of parameters used in HSA for effective solution of optimization problems are summarized.
Year
DOI
Venue
2015
10.1142/S0218001415390012
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
Harmony search algorithm, optimization, nature-inspired computing, evolutionary computing
Population,Improvisation,Evolutionary computation,Optimization algorithm,Harmony search,Artificial intelligence,Harmony memory,Optimization problem,Mathematics,Harmony (color),Machine learning
Journal
Volume
Issue
ISSN
29
8
0218-0014
Citations 
PageRank 
References 
10
0.42
32
Authors
2
Name
Order
Citations
PageRank
Nazmul H. Siddique112515.71
Hojjat Adeli22150148.37